Senior Data Analyst

Il y a 7 mois

Paris, France Qonto Temps plein

**Our mission**? Making day-to-day banking easier for SMEs and freelancers thanks to an online business account that's combined with invoicing, bookkeeping and spend management tools. Thanks to its innovative product, highly reactive 24/7 customer support and clear pricing, Qonto has become the leader in its market.

**Our journey**: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 400,000 customers. We also made it to the LinkedIn Top Companies French ranking

**Our values**:

- **Customer focus |** Prioritize customers in everything you do.
- **Ownership |** Own your part, get things done
- **Teamwork |** Make (team)work easy
- **Mastery |** Continuously raise the bar.
- **Integrity |** Always do what’s right, and respect people.

**Our beliefs**: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 49% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality.
- Discover the steps we took to create a discrimination-free hiring process.

**Our career track**:At Qonto, we value your unique skills, offering personalized career tracks and expertise levels from 1 to 9 that celebrate your impact, without conventional labels like 'senior' or 'director'.

At Qonto, Data Analytics is essential and central to our business. You will join a team of talented data analysts, that provides key insights used to make strategic decisions across the company.
- The BI Team is organized into five teams working in distinct areas, that regularly work together on cross-functional topics.

‍‍
**As a Data Analyst at Qonto, you will**:

- **Develop data analytics solutions** by creating sources of truth, designing the best metrics for our key business drivers, and building and promoting self-service tools and dashboards that empower your stakeholders.
- **Solve problems pragmatically** focusing on delivering value, identifying improvements, and creating scalable & reliable solutions.
- **Perform strategic and ad-hoc analysis** in support of key stakeholders across the business.
- **Partner with key stakeholders to identify analytical opportunities** and instill a data-informed mindset across the business
- Depending on your level of seniority, you will **share knowledge and mentor less experienced Analysts** to enable them to add more value sooner and become **thought partners to other members of the team.**:

- **Advocate for the team’s work to meet internal standards** for code style, quality, maintainability, and best practices.

**Examples of your future projects**
- The Product Manager of Cards wants to understand the success of this new “top-up” feature that the team recently delivered. You lead a cross-team effort to set up the success metric of this feature and measure its impact.
- We have recently released a new pricing strategy. The Strategy team wants you to assess what default billing option (annual or monthly) would generate more revenue and increase engagement.
- The Growth team needs to understand what are the levers that increase the acquisition of high-value customers. Does data bring relevant insights into this question?
- The Finance team wants to be able to monitor the evolution of our Revenue and understand the different levers behind the month-over-month and year-over-year evolution.
- The onboarding team wants to understand this drop in activation they have observed for the last three weeks. They need your help: how to distinguish the signal from the noise? Because fluctuations always occur.
- You have identified an improvement to our dashboard delivery process, you take the lead in improving this process and ensuring everyone in the team is aligned.
- You create a Python library to automate the analysis of experiments, later you train the team on its usage and limitations.

**What you can expect:
- **Work in a fast-paced multicultural environmen**t with a focus on shipping quality, fast:

- Yes, we go fast, but we have a
**strong focus on quality**: you work on one project at a time with a problem-solving mindset.
- Have ownership: you are **autonomously in charge** of your project passing through all stages: understanding business needs, data modeling, and visualizing data.
- **Knowledge sharing**: across the whole tech team (internal & external talk, weekly meetings, tech monthly) and the community (articles and meet-ups).
- A **modern data stack**: We mainly use **Snowflake** as a warehouse, **Airflow** and **DBT** as ELT, and **Tableau/Metabase** as our data visualization tools.

**About your future Manager**

You will work closely with Nacer or Omar, our Lead Data Analysts.

**Their background**:
With his Data Science Engineering degree Omar was the first Data Analytics lead at Qonto and grew the team from 4 to 25 talented individuals. He partn

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